IE 360 Statistical Forecasting and Time Series
Credit Information:
(3+1+0) 3
Description:
Exploring data patterns; moving averages, simple and double exponential smoothing, smoothing methods with seasonal data, Holt-Winter method; simple and multiple regression; regression with time series data; ARIMA models; Box-Jenkins method for forecasting; demand management and applications.
Offered by:
Syllabus:
